Detecting, Predicting, and Preventing Aortic Ruptures with Computational Modeling

According to some estimates, up to 80% of patients who experience a ruptured abdominal aortic aneurysm will die before they reach the hospital or during surgery. But early intervention can prevent rupture and improve outcomes. In Physics of Fluids, researchers make a computational model of the cardiovascular system in order to predict early AAA rupture and monitor patients’ blood vessel conditions. They mimicked specific health conditions and investigated various hemodynamic parameters using image-based computational blood dynamics.

Soft skin patch could provide early warning for strokes, heart attacks

UC San Diego engineers developed a soft, stretchy ultrasound patch that can be worn on the skin to monitor blood flow through vessels deep inside the body. Such a device can make it easier to detect cardiovascular problems, like blockages in the arteries that could lead to strokes or heart attacks.

New artificial heart shows promising results in ‘Auto-Mode’ – Initial clinical experience reported in ASAIO Journal

An experimental artificial heart includes an autoregulation control mechanism, or Auto-Mode, that can adjust to the changing needs of patients treated for end-stage heart failure. Outcomes in the first series of patients managed with the new heart replacement pump in Auto-Mode are presented in the ASAIO Journal, official journal of the American Society for Artificial Internal Organs. The journal is published in the Lippincott portfolio by Wolters Kluwer.